{"id":"W6964406166","doi":"10.25318/3310062401-eng","title":"Liquidity and access to liquidity over the next three months, fourth quarter of 2022","year":2022,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Market liquidity; Liquidity risk; Liquidity crisis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006586412,0.001046781,0.0009064996,0.002883932,0.0006464343,0.001916538,0.001589223,0.00157114,0.03448397],"category_scores_gemma":[0.005864371,0.0005563192,0.001159379,0.00715973,0.0002416119,0.001279808,0.001454859,0.001652595,0.0226642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001879616,"about_ca_system_score_gemma":0.002920946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1963217,"about_ca_topic_score_gemma":0.2364936,"domain_scores_codex":[0.9991058,0.00007845735,0.0001419008,0.0002017641,0.0002397477,0.0002323708],"domain_scores_gemma":[0.9972998,0.0003561157,0.0006984982,0.0002212699,0.001084632,0.0003397594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001270271,0.00003096572,0.01535177,0.0004194033,0.00007713715,0.00002866262,0.00002809176,0.0003654176,0.00005856299,0.0004827247,0.9812584,0.001771906],"study_design_scores_gemma":[0.0009255469,0.00007062659,0.2657928,0.0008477152,0.0001995586,0.0002421767,0.0005487411,0.001769674,0.0004318551,0.001266675,0.7277812,0.0001234994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007645123,0.0001036355,0.00001994267,0.0001242074,0.00002228303,0.000005916037,0.9982888,0.00003194287,0.0006386467],"genre_scores_gemma":[0.004268715,0.0001275892,0.00009935087,0.0001222292,0.00002549007,0.00007026218,0.9935961,0.00001971411,0.001670539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8036783,"threshold_uncertainty_score":0.3903579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216473999987521,"score_gpt":0.2573861600549174,"score_spread":0.2452214200550422,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}